Author(s)

Vanesa Araya, Natacha Espada, Marcelo Tosini, Lucas Leiva

INTIA, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Argentina.

Several conditions as driver imprudence, road conditions and obstacles are the main factors that will cause road accidents. The most important automotive industries are incorporating technology to reduce risk in vehicles. Their products are expensive and lack flexibility to incorporate new features. This work presented a first approach to increase vehicle safety based on regional features. A framework was implemented, incorporating lane analysis and obstacle detection through image processing. The framework was tested using image datasets and real captures with satisfactory results.

Driver Assistance, Framework, Automotive Risk Detection

Araya, V. , Espada, N. , Tosini, M. and Leiva, L. (2016) First Approach to a Framework for Regional Road-Traffic Accidents Reduction System. Journal of Software Engineering and Applications, 9, 175-181. doi: 10.4236/jsea.2016.95014.